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Contact Details

Language Skills

R
Python
SQL
Bash
git

Disclaimer

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Source code: github.com/shreyankpatil/shreyank-cv.

Last updated on 2020-06-18.

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Shreyank Patil

Data scientist who is adept at collecting, analysing and interpreting datasets and developing machine learning models. Strong analytical skills, attention to detail and ability to work successfully in a team environment.

Currently seeking opportunities in progressive, technology focused organisations.

Education

Master of Professional Studies in Data Science

University of Auckland

Auckland, NZ

2019

  • Graduated with First Class Honours
  • Thesis: A Study of Ticketing Prediction in the Events Industry
  • Research conducted in collaboration with Dexibit for partial fulfilment of Masters program
  • Conducted in-depth exploration of ticketing and events industry
  • Built machine learning models to predict ticketing sales
  • Presented findings to industry partner

Certificate of Proficiency, Data Science

University of Auckland

Auckland, NZ

2018

  • Fundamental courses in statistics and computer science

Bachelor of Engineering(Hons) in Mechanical Engineering

University of Auckland

Auckland, NZ

2016 - 2013

  • Honours Dissertation: Modelling and Control of Underwater Actuators for Floating Wind Turbines

Work Experience

Data Scientist

Dexibit

Auckland, NZ

2020 - 2019

  • Dexibit is a SaaS company which offers big data analytics to visitor attractions around the world. The Dexibit product aims to help these visitor attractions predict and analyse visitor behaviour
  • Responsible for managing and running data science operational tasks for the product
  • Involved with improving forecast accuracy significantly across all customers
  • Aided in the research and development of insights for new product modules
  • Part of prototyping and designing a new simulation tool to help visitor attractions plan for COVID effects

Data Scientist Intern

Dexibit

Auckland, NZ

2019 - 2018

  • Worked as part of Masters project to research and develop machine learning models to expand forecasting capabilities of organisation
  • Delivered bespoke forecasts to customers on request

Graduate Mechanical Engineer

JP Marshall Engineering

Hamilton, NZ

2018 - 2017

  • Designed custom mechanical solutions for clients around NZ
  • Developed complex CAD models and engineering drawings
  • Oversaw fabrication process including procurement of parts and liasoned with customers, suppliers and our own staff